ABSTRACT
COVID-19 is an infectious disease caused by SARS-CoV-2 virus. It has disrupted the normal life of people, medical infrastructure, and economy globally. Remote health monitoring is a better option in pandemic diseases such as COVID and Ebola virus. Remote health monitoring can be enhanced by effectively using various recent advancements in technology. Technological advancements such as Wireless Body Area Networks (WBAN), Internet of Things (IoT), Artificial Intelligence (AI), and medical robotics for improving the effectiveness of remote health monitoring in COVID-19 pandemic are reviewed and presented in this chapter. Building expert systems using WBAN, IoT, AI, and robotics is an optimal choice to remote monitor COVID and reduce infection spread and mortality. Detailed architecture, use cases, impacts, workflow, applications, and future directions toward building a better expert system is highlighted in this chapter. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
ABSTRACT
During the period of pandemic, education officials have been forced to cancel classes and close the doors to campuses across the world in response to the growing coronavirus outbreak. In addition, all over country’s’ academic institutions have switched classes to online learning, cancelled spring break trips and students studying abroad in China, Italy and South Korea have been encouraged to return home to complete their studies. Besides, the most effective tool in keeping student retention and maintaining access to learning has been online courses. Universities across the country have adjusted their programs in response to the spread of the coronavirus While the majority of colleges and universities around the world integrate some form of online education into their coursework, moving all programs online may prove challenging. Therefore, this paper evaluates and quantifies the impact of the coronavirus disease of 2020 to 2021(COVID-19) on stock market performance of selected four educational sector by using daily stock market data spanning from Jan 2021 to July 2021. Hence, this research employed a basic statistical analysis to estimate the relative effects of the COVID-19 pandemic on stock market performance in those educational sector stocks. The analysis of the study found that there is a strong relationship among the stock price of educational sector and its financial performance indicators.
ABSTRACT
The Research was focused on the Diary Products like milk, curd, sweets, etc. The research was confine 10 locations in the Andhra Pradesh States in Chennai surrounded Sholinganallur places. The purpose of this research was to find out the customer tastes and preferences for choosing the milk products. The instruments were prepared using the nominal and ordinal scale according to the review of literature. The data was analysis using the SPSS Software percentage table calculations and hypothesis was tested using the Chi Square testing. The outcomes of the research stated clearly on the quality of services customers are receiving through Diary parlour. Conclusion: Customers are satisfied with the diary products and services offer even in the Covid 19 conditions. © 2022 International Journal of Health Sciences. All rights reserved.
ABSTRACT
The medical sector plays an important role in our day-to-day life, the waste generated from this field is creating a problem for the healthy survival of society. India generated nearly 18,000 tons of Bio-medical waste in four months (June 2019 to September 2019) during covid [1]. Around 20% of the waste produced is hazardous and could be toxic to humans who get exposed during manual waste segregation. Bio-medical wastes are harmful, infectious, and hazardous to humans. When it is dumped in landfills, chemicals present in it will not degrade which acts as the major source of pollutants turning the biosphere toxic. In this pandemic period, it is tough to manage this waste. Moreover, the people who are home quarantined due to coronavirus generate infectious wastes, this waste discarded as domestic waste pose several infections to the surrounding environment and workers. But it is important to manage medical waste to prevent the spread of infections but it is impractical to separate waste manually due to several disadvantages and issues. This paper aims to produce an autonomous solution in segregating of biomedical wastes without human interventions thus reducing the spread of infections to humans. © 2022 IEEE.
ABSTRACT
Objective: The focus is to screen the phytoconstituents of various Indian medicinal plants using virtual screening tools against various targets of COVID-19 to develop potential compound for its treatment. Methods: The phytoconstituents of many herbal plants were screened based on literature review and then subjected to drug likeness property along with its bioactivity score. Docking of screened compounds with the targets of CoV being available default in the COVID-19 Docking Server tool based on Schrodinger maestro was demonstrated. Further, the docking was analysed using PyRx and AutoDock 4.2. The phytoconstituents were then taken for ADME estimation by ADME/T tool and SwissADME tool. The toxicity was predicted utilising TEST software. Results: Out of all, eleven phytoconstituents exhibited significant molecular properties and bioactivity score. After docking all compounds using various tools, their top binding scores were tabulated. It shows that the phytoconstituents Amritoside D and Tinocordifolin effectively produces significant action against COVID-19 when compared with the standard drugs currently been used. i.e., Favipiravir and Chloroquine. Further, it exhibited better absorption and distribution parameters for Pharmacokinetics of the drug. Hence, the toxicity estimation was also predicted focusing mainly on Oral Rat LD50 values. Conclusion: From all these results, it suggests that the compounds Amritoside D and Tinocordifolin produce significant results against COVID-19. Hence, further in-vitro and clinical studies have to be performed to develop drug for CoV treatment in a speedy way. © RJPT All right reserved.
ABSTRACT
COVID-19 has spread rapidly across the globe. World Health Organization has declared COVID-19 virus a pandemic. While COVID-19 is identified to be spreading through various mediums, currency is identified to be one significant medium. The apparent usage of currency across the world has only been increasing irrespective of the situation. An infected individual can easily spread this virus through currency and credit/debit cards while using them. This triggered our idea to come up with a wallet that can sanitize its belongings. The belongings in the wallet can be sanitized using the ultra -violet ray technology. Since 555 timer is also used, the circuit will automatically cut off after 5 minutes of switch-in on to have seamless user experience. In this paper it is explained on how this circuit works and how the circuit was embedded in the wallet.